“Data Science for Biology,” co-authored by STEM for Humanity president Emily Ren and her Boeing mentor Tony Lee, is an introductory book that explores the fascinating intersection of data science, mathematics, and biology. It is a perfect read for anyone, particularly high school students, with a keen interest in embracing the intellectual adventure of the interdisciplinary area. It covers fundamental topics of data collection, data visualization, statistical analysis, mathematical modeling, graph theory, bioinformatics algorithms, and ethical considerations. This book uses many examples and simplified logic to present the basic concepts and algorithms of biological data science in an engaging and easy-to-understand manner.
The examples featured in this book encompass not only the data science aspects pertinent to micro-level biology, such as molecular biology and genetics, but also those related to macro-level biology, such as ecology, plants, animals, and evolution. The authors of the book genuinely believe in the value of integrating knowledge from both STEM and humanities, and they hope that data scientists can effectively address both the technical aspects of biological data and the broader societal implications.
(Caption: A few selected pages of the book.)
The book’s print edition is available for purchase on Amazon: https://www.amazon.com/gp/product/B0CP8GN3Q2.